Literature DB >> 24430828

The sampling variance of the correlation coefficients estimated from two-fold nested and offspring-parent regression analyses.

K Hammond1, F W Nicholas.   

Abstract

A formula is presented for the large-sample variance of phenotypic, genetic and environmental correlation coefficients, estimated from two-fold nested genetic analyses of balanced or unbalanced offspring data. Where parents of these offspring are scored, offspring on parent regression estimates of genetic parameters may be obtained for each parental level of the nested model. The large-sample variance of the offspring-parent genetic correlation coefficients, computed from either level or by using mid-parent data, is given. The first formula is a correction and generalisation of an expression given by Grossman (1970), while the second formula is an extension of a relationship derived by Reeve (1955).

Year:  1972        PMID: 24430828     DOI: 10.1007/BF00583409

Source DB:  PubMed          Journal:  Theor Appl Genet        ISSN: 0040-5752            Impact factor:   5.699


  2 in total

1.  Sampling variance of the correlation coefficients estimated from analyses of variance and covariance.

Authors:  M Grossman
Journal:  Theor Appl Genet       Date:  1970-01       Impact factor: 5.699

2.  An empirical study of the distribution of the sample genetic correlaon coefficient.

Authors:  G H Brown
Journal:  Biometrics       Date:  1969-03       Impact factor: 2.571

  2 in total
  3 in total

1.  Long-term selection for a quantitative character in large replicate populations of Drosophila melanogaster : Part 3: The nature of residual genetic variability.

Authors:  B H Yoo
Journal:  Theor Appl Genet       Date:  1980-01       Impact factor: 5.699

2.  Simplification of the sampling variance of the correlation coefficients.

Authors:  M Grossman; H W Norton
Journal:  Theor Appl Genet       Date:  1974-01       Impact factor: 5.699

3.  The early growth of artificially reared American lobsters : Part 1: Genetic parameters within environments.

Authors:  R W Fairfull; L E Haley; J D Castell
Journal:  Theor Appl Genet       Date:  1981-09       Impact factor: 5.699

  3 in total

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